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Google Exam Associate Data Practitioner Topic 1 Question 4 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 4
Topic #: 1
[All Associate Data Practitioner Questions]

Your retail company collects customer data from various sources:

You are designing a data pipeline to extract this dat

a. Which Google Cloud storage system(s) should you select for further analysis and ML model training?

Show Suggested Answer Hide Answer
Suggested Answer: B

Online transactions: Storing the transactional data in BigQuery is ideal because BigQuery is a serverless data warehouse optimized for querying and analyzing structured data at scale. It supports SQL queries and is suitable for structured transactional data.

Customer feedback: Storing customer feedback in Cloud Storage is appropriate as it allows you to store unstructured text files reliably and at a low cost. Cloud Storage also integrates well with data processing and ML tools for further analysis.

Social media activity: Storing real-time social media activity in BigQuery is optimal because BigQuery supports streaming inserts, enabling real-time ingestion and analysis of data. This allows immediate analysis and integration into dashboards or ML pipelines.


by Aretha at Jan 26, 2025, 11:41 AM

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Huey
2 months ago
I'm feeling a bit like a data detective here, trying to crack the case of the best storage solution. Option B is my pick - it's the data pipeline equivalent of Sherlock Holmes solving a mystery!
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Maxima
2 months ago
Woah, hold on a second! Why are we even considering Bigtable? That's overkill for this use case. I'd go with option B, it's the most straightforward and efficient choice.
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Annelle
21 days ago
Buck: Option B it is then, simple and efficient.
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Krystal
23 days ago
User 3: Cloud Storage for customer feedback makes sense too.
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Buck
1 months ago
User 2: Yeah, option B with BigQuery for online transactions and social media activity is the way to go.
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King
1 months ago
User 1: I agree, Bigtable seems unnecessary for this.
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Iesha
2 months ago
I prefer option D because using Cloud SQL for MySQL for online transactions seems more secure and reliable.
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Krystina
2 months ago
I disagree, I believe option B is better as BigQuery can handle large datasets more efficiently.
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Graciela
2 months ago
I think option A is the best choice because all data can be stored in Cloud Storage for further analysis.
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Alex
2 months ago
Option D looks good to me. Cloud SQL for the online transactions, BigQuery for the customer feedback, and Cloud Storage for the social media activity. Seems like a well-rounded solution.
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Leatha
30 days ago
Cloud Storage is perfect for storing and accessing unstructured data from social media activity.
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Samira
1 months ago
BigQuery is great for analyzing large datasets like customer feedback.
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Jenifer
1 months ago
I agree, using Cloud SQL for online transactions makes sense for structured data.
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Louis
2 months ago
Option D looks good to me. Cloud SQL for the online transactions, BigQuery for the customer feedback, and Cloud Storage for the social media activity. Seems like a well-rounded solution.
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Kate
2 months ago
I agree, that combination covers all the different types of data sources effectively.
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Dawne
2 months ago
Option D looks good to me. Cloud SQL for the online transactions, BigQuery for the customer feedback, and Cloud Storage for the social media activity. Seems like a well-rounded solution.
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Annita
3 months ago
I think option B is the way to go. BigQuery is great for handling large datasets like online transactions and social media activity, while Cloud Storage is perfect for the customer feedback.
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Clarinda
2 months ago
Cloud Storage is reliable for storing customer feedback data.
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Earlean
2 months ago
I agree, BigQuery is definitely powerful for analyzing large datasets.
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